Evidence map›Paper›PMID 38487739›Full record

ReviewHepatology forum2024

The pleiotropic approach to coronavirus disease-19 pathogenesis: The impact of liver diseases associated host genetic variants.

Eren Sahin, Ali Dag, Fatih Eren

Open access · bronzeAbstract readReview
In one paragraph

Review in Hepatology forum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Eren SahinMarmara University School of Medicine, 3 year Pre-Clinical Student, Istanbul, Turkiye.
Ali DagMarmara University School of Medicine, 3 year Pre-Clinical Student, Istanbul, Turkiye.
Fatih ErenDepartment of Medical Biology, Marmara University School of Medicine, Istanbul, Turkiye.
Marmara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease-2019 (COVID-19) is a novel multisystemic viral disease caused pandemic. The disease impact involves liver and associated systems. Undoubtedly, host genetic background influences the predisposition and prediction of infection. Variants among human populations might increase susceptibility or protect against severe outcomes. In this manner, rs738409 variant of patatin-like phospholipase domain-containing protein 3 gene appears to be protective in some populations in spite of its aggravating effect on non-alcoholic fatty liver diseases (NAFLDs) and steatohepatitis. DRB1*15:01 allele of human leukocyte antigen is associated with protective effect in European and Japanese populations. DRB1*03:01 contrarily increases the susceptibility of severe COVID-19 infection in European populations. rs1260326 in glucokinase regulatory protein gene, rs112875651 in tribbles homolog 1 gene, rs429358 in apolipoprotein 1, and rs58542926 in transmembrane 6 superfamily 2 alleles are found related with NAFLD and obesity; thus, hypercoagulability and severe COVID-19 outcomes. In chronic or acute liver diseases, comorbid syndromes are the key factors to explain increased severity. There might not be a direct association between the variant and severe COVID-19 infection. As it is concluded, there are genes and variants known and unknown yet to be studied to reveal the association with disease severity.

Indexed as

AutoimmuneCOVID-19genetic polymorphismhepatitisliverNAFLDpathogenesis

Identifiers

PMID38487739
PMCPMC10936119
OpenAlexW4390958517

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.